CacheGuard Appliance is an all-in-one OS appliance providing firewall, antivirus, caching, compression, bandwidth allocation, load balancing, reverse and forward proxy, high availability, Web application firewall, URL guarding, and more. It can be purchased as an OS to install on your server, as an OS to run in a virtual machine, or as a hardware appliance.

Traffic Squeezer is a Linux kernel based WAN network traffic accelerator from Doublefish Solutions. It uses methods such as traffic compression, traffic PDU coalescing, protocol specific acceleration (such as TCP acceleration mechanisms), and quality of service. Traffic Squeezer also contains custom L7filters (application protocol filters), DPI (Deep Packet Engines) and so on to control and administrate your traffic. With Traffic Squeezer, you can optimize MPLS,ISDN, leased links, Satellite Networks, and Marine Internet, and even build your own custom WAN Appliance with Traffic Squeezer. A GUI is now supported via Doublefish Solution Aquarium. Aquarium is a Web-GUI that also supports Traffic Squeezer, Squid, and other open source solutions.

Japplis Website Optimizer is a tool that can reduce the size of your Web pages, CSS, and Javascript by more than 50% using several techniques. This will not only make your Web site faster but also save bandwidth. It can also add the height, width, and alt attribute to the images if missing. It can generate an .htaccess file to improve the caching of the server.

ImageOptim decreases the file size of PNG, JPEG, and GIF images, even those "Saved for Web". It combines OptiPNG, PNGCrush, AdvanceComp, PNGOUT, Jpegoptim + Jpegtran, and Gifsicle for the best possible optimization.

Japplis Website Optimizer Lite is a program to optimize your Web pages. Using several techniques, it can reduce the size of your HTML pages by more than half. This will not only make your Web site faster, but also save bandwidth. Japplis Website Optimizer Lite can also add the height, width, and alt attributes to images if they are missing.

Simulated annealing is a computational algorithm for optimization. It mimics the physical process of thermal annealing in which a metal is heated and then slowly cooled to settle into a highly ordered crystal structure. For common metals, the lowest energy state is already known. But the method is useful for other problems where the best state is not known and exhaustively searching all possible states is impractical. The method is applied by modeling the problem as a physical system with structure, energy, and temperature. This Python module implements simulated annealing so that it can be easily applied to a variety of problems. An example program is include to perform simulated annealing of the traveling salesman problem.

NLopt is a library for nonlinear optimization that allows one to select from a wide variety of optimization algorithms by changing a single parameter. Its features include both local and global optimization, unconstrained, bound-constrained, or nonlinear-inequality constrained problems, and optimization using function values only or using derivatives if they are available. It was initially begun as a wrapper around several existing optimization packages, but it now also includes original implementations of several algorithms for which no free code was available. It provides interfaces callable from C/C++, Fortran, Matlab, GNU Octave, Python, and GNU Guile.

JCGO (pronounced as "j-c-go") translates (converts) programs written in Java into platform-independent C code that can be compiled (by third-party tools) into highly-optimized native code for the target platform. JCGO is a powerful solution that enables your desktop, server-side, embedded, mobile, and wireless Java applications to take full advantage of the underlying hardware. In addition, JCGO makes your programs, when compiled to native code, as hard to reverse engineer as if they were written in C/C++. The JCGO translator uses some optimization algorithms that allow, together with optimizations performed by a C compiler, the resulting executable code to reach better performance compared with the traditional Java implementations (based on the Just-In-Time technology). The produced executable does not contain nor require a Java Virtual Machine to execute, so its resource requirements are smaller than that required by a typical Java VM. This also simplifies the process of deployment and distribution of an application.

SLEEF (SIMD Library for Evaluating Elementary Functions) is a library that facilitates programming with SIMD instructions. It implements the trigonometric functions, inverse trigonometric functions, exponential and logarithmic functions in double precision without table look-ups, scattering from, or gathering into SIMD registers, or conditional branches. This library also includes some functions for evaluation in single precision.